Elastic Observability vs. Netdata
A side-by-side comparison based on G2 review data.
| Metric | Elastic Observability | Netdata |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 138 | 54 |
| Ease of use | 8.1 | 9.2 |
| Ease of setup | 7.7 | 9.6 |
| Quality of support | 8.4 | 9.2 |
| Meets requirements | 8.9 | 9.3 |
| NPS | 55.645161 | 76.470588 |
| Small Business | 23.5% | 47.1% |
| Mid-Market | 37.5% | 45.1% |
| Enterprise | 39.0% | 7.8% |
| Total page views | 894 | 369 |
| Total LLM citations | 8,774 | 5,240 |
Elastic Observability
OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time.
- Ease of Use
- Monitoring
- Alerting System
- Log Management
- Metrics
- Features
Netdata
Netdata is a real-time observability platform with agentic AI troubleshooting that covers the full stack in one product: infrastructure, containers and Kubernetes, databases, networks, cloud services, logs, distributed traces and digital experience. It installs in minutes, finds what's running on its own, and starts monitoring right away. Dashboards, ready-made alerts and machine-learning anomaly detection on every metric work out of the box, with no configuration and no query language. Netdata AI works as an on-call engineer.
- Ease of Use
- Easy Setup
- Monitoring
- Real-time Monitoring
- User Interface
- Integrations